1.哈尔滨工业大学 土木工程学院，黑龙江 哈尔滨 150090;2.哈尔滨工业大学 结构工程灾变与控制教育部重点实验室，黑龙江 哈尔滨 150090;3.华南理工大学 广东省现代土木工程技术重点 实验室，广东 广州 510641
高文昌（1998—），男，山东滨州人，哈尔滨工业大学硕士生. E-mail：20S133188@stu.hit.edu.cn
张 欢（1991—），男，河北唐山人，哈尔滨工业大学讲师，硕士生导师，博士. E-mail： zhanghuan916@hit.edu.cn
TU528.01
国家自然科学基金资助项目（52108128）；广东省现代土木工程技术重点实验室项目（2021B1212040003）
GENG Yue
School of Civil Engineering， Harbin Institute of Technology， Harbin 150090， China;Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education， Harbin Institute of Technology， Harbin 150090， China;Guangdong Provincial Key Laboratory of Modern Civil Engineering Technology， South China University of Technology， Guangzhou 510641， China1.School of Civil Engineering， Harbin Institute of Technology， Harbin 150090， China;2.Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education， Harbin Institute of Technology， Harbin 150090， China;3.Guangdong Provincial Key Laboratory of Modern Civil Engineering Technology， South China University of Technology， Guangzhou 510641， China
再生混凝土棱柱体与立方体抗压强度之间的关系显著异于普通混凝土，而现有模型预测精度较低、离散性较高.为此，搜集并分析了文献中139组试验数据，研究了再生骨料取代率、吸水率与二者耦合效应对再生混凝土强度的显著影响，提出了再生混凝土棱柱体与立方体抗压强度关系模型，模型预测结果变异系数仅为5.4%.为方便使用，基于骨料分类，进一步简化了该模型.模型分析结果表明其不确定性服从正态分布，且与关键参数无关，采用该模型进行结构可靠度分析时可忽略其相关性.
The relationship between the prism and cube compressive strengths of recycled aggregate concrete is significantly different from that of normal aggregate concrete. However， the prediction accuracy of existing models is relatively low and the discrepancy between predicted results of these models is relatively high. 139 groups of test data in literatures were collected and analyzed， and the significant influences of the replacement ratio， water absorption ratio and the compounding effect between these two parameters were disclosed. A model for the relationship between the prism and cube compressive strengths of recycled aggregate concrete was proposed， with the coefficient of variation being only 5.4%. For the convenience of usage， a simplified calculation model based on the recycled aggregate classification was also proposed. The results of the model analysis show that the model uncertainty follows a normal distribution and is independent of the key parameters. It is suggested that the correlation between the model uncertainty and the key parameters can be ignored when the model is used for reliability analysis.
高文昌,张欢,耿悦,杨华.再生混凝土棱柱体与立方体抗压强度关系模型[J].建筑材料学报,2022,25(11):1121-1127
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